Location
This workshop was held at the Cahill Center, California Institute of Technology
Description
This Workshop invited statisticians, applied mathematicians, computer scientists, experts in remote sensing technology, and Climate and Earth System scientists to convene to review, discuss, and plan research on issues related to large-scale, efficient analysis of distributed data using spatial statistical methods. Remote sensing data are natural inputs to spatial statistical algorithms, but in many cases data are massive, and are stored in different physical locations. These data must be brought together in some way in order to estimate spatial covariance functions, but moving data to a central location for analysis is tedious at best and impossible at worst. Some remote data reduction is almost certainly necessary, but how much? What are the consequences for inference? The fundamental issue underlying these questions is how to navigate the trade-space between computational and transmission costs versus uncertainty in the estimates or inferences that are ultimately produced. The Workshop was organized around the following themes:
- Data systems and their architectures especially at NASA and NOAA
- Multi-layer network models for data systems
- The computational–statistical trade-off: theory and application
- Spatial statistics with distributed data
- Case study problems with uncertainty requirements and cost limitations
Schedule and Supporting Media
Confirmed speakers for this event were:
- David Banks, Director, SAMSI and Statistics Professor, Duke University
- Veronica Berrocal, University of Michigan
- Carmen Boening, Jet Propulsion Laboratory
- Amy Braverman, Jet Propulsion Laboratory
- Venkat Chandrasekaran, Caltech
- Ansu Chatterjee, University of Minnesota
- Dan Crichton, Jet Propulsion Laboratory
- Luca Cinquini, Jet Propulsion Laboratory
- Manilo De Domenico, University of Trento
- George Djorgovski, Caltech
- Rajarshi Guhaniyogi, University of California, Santa Cruz (UCSC)
- Dorit Hammerling, National Center for Atmospheric Research (NCAR)
- Jon Hobbs, Jet Propulsion Laboratory
- Maggie Johnson, Postdoctoral Fellow, SAMSI and N.C. State University
- Emily Kang, University of Cincinnati
- Matthias Katzfuss, Texas A&M
- Mike Little, NASA Headquarters
- Jay Morris, NOAA
- Jessica Matthews, NOAA/North Carolina Institute for Climate Studies
- Bruno Sansó, UCSC
- Richard Smith, Associate Director, SAMSI and Professor of Statistics, University of North Carolina at Chapel Hill
- Hui Su, Jet Propulsion Laboratory
- Vineet Yadav, Jet Propulsion Laboratory
- Zhengyuan Zhu, Iowa State University
Poster Session
Talks and Abstracts
Monday, February 12, 2018
Cahill Center, California Institute of Technology
| Description | Speaker | Slides | |
|---|---|---|---|
| Opening Remarks | Amy Braverman, Jet Propulsion Laboratory; Jessica Matthews, NCSU/NOAA | ||
| Welcome/SAMSI | David Banks, SAMSI Director; Richard Smith, SAMSI Associate Director | ||
| Welcome/CD3 and CDST | George Djorgovski, Caltech; Dan Crichton, Jet Propulsion Laboratory | ||
| Distributed Access and Analysis: NASA | Mike Little, NASA | ||
| Satellites and Stovepipes | Jay Morris, NOAA | ||
| The Statistical Computational Trade-off | Venkat Chandrasekaran, Caltech | ||
| Approximate Likelihoods | Richard Smith, UNC-CH/SAMSI | ||
| Data System Architectures | Dan Crichton, Jet Propulsion Laboratory | ||
| The ToDS Problem | Maggie Johnson, SAMSI/NCSU | ||
| Multilayer Modeling and Analysis of Complex (Systems) Data | Manlio De Domenico, Bruno Kaiser Foundation | ||
| Optimization Working Group | Jessica Matthews, NOAA | ||
| Emulators Working Group | Emily Kang, University of Cinncinati | ||
| Spatial Retrieval Working Group | Jon Hobbs, Jet Propulsion Laboratory | ||
| Discussion | Bruno Sanso, University of California, Santa Cruz (UCSC); Ansu Chatterjee, University of Minnesota; David Banks, SAMSI/Duke | ||
| Poster Session and Reception |
Tuesday, February 13, 2018
Cahill Center, California Institute of Technology
| Description | Speaker | Slides | |
|---|---|---|---|
| Multi-resolution Approaches for Big Spatial Data | Matthias Katzfuss, Texas A&M | ||
| DISK: A Divide and Conquer Bayesian Approach to Large Scale Kriging | Rajarshi Guhaniyogi, UCSC | ||
| Optimization for Distributed Data Systems: An Overview and Some Theoretical Results | Zhengyuan Zhu, Iowa State | ||
| High Performance Computing and Spatial Statistics: an overview of recent work at NCAR | Dorit Hammerling, NCAR | ||
| The Earth System Grid Federation as a Testbed for Global, Distributed Data Analytics | Luca Cinquini, Jet Propulsion Laboratory | ||
| Discussion | |||
| Environmental Exposure in Environmental Epidemiological Studies: modeling approaches and challenges | Veronica Berrocal , University of Michigan | ||
| Climate Science | Hui Su, Jet Propulsion Laboratory | ||
| Sea-Ice Modeling and Analysis | Carmen Boening, Jet Propulsion Laboratory | Presentation NOT Available | |
| Carbon Cycle Science | Vineet Yadav, Jet Propulsion Laboratory | ||
| Discussion: Agenda for ToDS Research | |||
| Wrap-up, Plans for Wednesday |
Wednesday, February 14, 2018
Cahill Center, California Institute of Technology
| Description | Speaker | Slides |
|---|---|---|
| Discussion and Planning | ||
| Wrap-up |
Questions: email [email protected]